BAS R package for Bayesian Model Averaging and Variable Selection

Fitting dose-response models in R

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

🎓 Tidy regression tools for academics

Modelling DNA methylation profiles

gnm package for generalized nonlinear models in R

A Bioconductor package and shiny app for DNA methylation data length bias adjustment in gene set testing

Workshop 6 - Generalized linear models (GLM)

Predicting chemosensitivity using gene expression

R package: Linear Splines with Convenient Parameterizations

Efficient Variable Selection for GLMs in R

Constrained likelihood estimation and inference with truncated lasso penalty for linear, generalized linear, and Gaussian graphical models.

Generalized Linear Models with the Exclusive Lasso Penalty

Fast Sparse Linear Models for Big Data with SAGA

Ribo-DT is a snakemake pipeline to infer single-codon and codon-pair dwell times as well as gene flux from ribosome profiling data using generalized linear model (GLM) with negative binomial noise model (Gobet et al., PNAS, 2020).

📊⚙️ Using 7 years of my sleep data, this project predicts Sleep Quality using a linear regression model based on predictors such as time in bed, time asleep, temperature, alarm, and steps.

Build and Tune Several Models

Author statistical models from domain knowledge

Analysis of data from the Framingham Heart Study using generalized linear models.